DE-BIAS will develop an AI-powered tool to automatically detect problematic terms in metadata. It will provide information on their problematic nature and suggest appropriate alternatives using contextual vocabularies .
These vocabularies will focus on migration and colonial history, gender and sexual identity, and ethnicity and ethnoreligious identity . Collaboratively developed with marginalized communities, these vocabularies empower communities to reshape historical descriptions affected by outdated colonial, patriarchal, and hegemonic structures .
By fostering collaboration, DE-BIAS aims to enhance representation, participation, and inclusivity in museums and archives . It will provide capacity-building workshops and a knowledge base for cultural heritage professionals to address bias in their collections . The project will analyze over 4.5 million records in English, Italian, German, French, and Dutch, including metadata coming from film archives through the European Film Gateway to Europeana .
Nyitólap - NFI